Performance optimization of a leagility inspired supply chain model: a CFGTSA algorithm based approach

Lean and agile principles have attracted considerable interest in the past few decades. Industrial sectors throughout the world are upgrading to these principles to enhance their performance, since they have been proven to be efficient in handling supply chains. However, the present market trend demands a more robust strategy incorporating the salient features of both lean and agile principles. Inspired by these, the leagility principle has emerged, encapsulating both lean and agile features. The present work proposes a leagile supply chain based model for manufacturing industries. The paper emphasizes the various aspects of leagile supply chain modeling and implementation and proposes a new Hybrid Chaos-based Fast Genetic Tabu Simulated Annealing (CFGTSA) algorithm to solve the complex scheduling problem prevailing in the leagile environment. The proposed CFGTSA algorithm is compared with the GA, SA, TS and Hybrid Tabu SA algorithms to demonstrate its efficacy in handling complex scheduling problems

Modeling of system knowledge for efficient agile manufacturing : tool evaluation, selection and implementation scenario in SMEs

In the manufacturing world, knowledge is fundamental in order to achieve effective and efficient real time decision making. In order to make manufacturing system knowledge available to the decision maker it has to be first captured and then modelled. Therefore tools that provide a suitable means for capturing and representation of manufacturing system knowledge are required in several types of industrial sectors and types of company’s (large, SME). A literature review about best practice for capturing requirements for simulation development and system knowledge modeling has been conducted. The aim of this study was to select the best tool for manufacturing system knowledge modelling in an open-source environment. In order to select this tool, different criteria were selected, based on which several tools were analyzed and rated. An exemplary use case was then developed using the selected tool, Systems Modeling Language (SysML). Therefore, the best practice has been studied, evaluated, selected and then applied to two industrial use cases by the use of a selected opens source tool.peer-reviewe

The relevance of outsourcing and leagile strategies in performance optimization of an integrated process planning and scheduling

Over the past few years growing global competition has forced the manufacturing industries to upgrade their old production strategies with the modern day approaches. As a result, recent interest has been developed towards finding an appropriate policy that could enable them to compete with others, and facilitate them to emerge as a market winner. Keeping in mind the abovementioned facts, in this paper the authors have proposed an integrated process planning and scheduling model inheriting the salient features of outsourcing, and leagile principles to compete in the existing market scenario. The paper also proposes a model based on leagile principles, where the integrated planning management has been practiced. In the present work a scheduling problem has been considered and overall minimization of makespan has been aimed. The paper shows the relevance of both the strategies in performance enhancement of the industries, in terms of their reduced makespan. The authors have also proposed a new hybrid Enhanced Swift Converging Simulated Annealing (ESCSA) algorithm, to solve the complex real-time scheduling problems. The proposed algorithm inherits the prominent features of the Genetic Algorithm (GA), Simulated Annealing (SA), and the Fuzzy Logic Controller (FLC). The ESCSA algorithm reduces the makespan significantly in less computational time and number of iterations. The efficacy of the proposed algorithm has been shown by comparing the results with GA, SA, Tabu, and hybrid Tabu-SA optimization methods

An agile business process improvement methodology

Adoption of business process improvement strategies are now a concern of most organisations. Organisations are still facing challenges and finding transient solutions to immediate problems. The misalignment between IT solutions and organisational aspects evolves across space and time showing discrepancies. Unfortunately, existing business process approaches are not according with continuous business process improvement involving business stakeholders. Considering this limitation in well-known Business Process (BP) methodologies, this paper presents a comparative study of some approaches and introduces agility in the Business Process and Practice Alignment Methodology (BPPAM). Our intention is to present observed problems in existing approaches and introduce agility in our proposal to address features, like the alignment between daily work practices and business process descriptions, in a simple and agile way. (C) 2017 The Authors. Published by Elsevier B.V

The Impact of Strategies in Supply Chain Management for Better Performance in Manufacturing SMEs in Aguascalientes

This research aims to analyze the impact of the implementation of strategies in the the Supply Chain Management (SCM), Manufacturing for SMEs in Aguascalientes may have a higher yield. The analysis was performed through the design of an assessment tool aimed at managers through an empirical study in the period from August to December 2013. The methodology has been quantitative approach, as well as correlational and descriptive the sample is random. The expected results are intended to influence the decisions taken by the managers in their organizations to the SCM is still complex, it is more efficient through the implementation of strategies for increased output in manufacturing SMEs in Aguascalientes. In this sense, the expected results intended sizing how important the integration of strategies is in the practice of the SCM, and in turn, the impact of this influence on the Performance of Manufacturing SMEs. In this study, structural equation modeling technique was applied to support software EQS 6.

Improving supply chain management in construction: what can be learned from the aerospace industry?

In order to provide for controllable delivery, reliable lead times and efficient customer response, lean manufacturing and platform assembly practices play an important role in supply chains in the aerospace industry. The adoption of lean manufacturing practices ensures an efficient delivery of products to the market. Benefits from the development of platform strategies are a more reliable materials supply and an improved logistics control. The aerospace industry is characterized by a small number of major global players and many small ones. A major part of the design and production has been contracted out to suppliers. In this paper the basic similarities and differences between the construction and aerospace industry and supply chains are analysed. A comparative study of aerospace and construction supply chains is presented to indicate and discuss the applicability of supply chain management concepts to construction, and the improvement potential of these concepts regarding supply chain management in construction. It is concluded that in particular the practice of platform assembly is a fruitful concept to be applied in the construction industry

Leanness and agility as means for improving supply chains. A case study on Egypt

Supply chain management has received greater attention from the academics and the practitioners, however the literature review lacks a comprehensive view for supply chain management practices and how its members should act to contribute to its overall success (Li el at., 2005). In this era, where the business organisations are working in several challenging threats and opportunities, greater attention is given to supply chain management. Nowadays, companies are always searching for means to improve their supply chains. The main aim of this research is to show "how leanness and agility approaches can be used within the same enterprise as complementary means for improving its supply chain". To achieve this research objective, the research has provided an assessment and summarised the literature on the supply chain management, lean thinking and agility thinking including their importance; their definitions; their practices and the relationship between lean and agility. The resulted proposed framework deduced from the literature has been applied in the Egyptian Manufacturing Business to show the relationship between the agility principles, lean principles, entity performance and the successful supply chain

The technology base for agile manufacturing

The effective use of information is a critical problem faced by manufacturing organizations that must respond quickly to market changes. As product runs become shorter, rapid and efficient development of product manufacturing facilities becomes crucial to commercial success. Effective information utilization is a key element to successfully meeting these requirements. This paper reviews opportunities for developing technical solutions to information utilization problems within a manufacturing enterprise and outlines a research agenda for solving these problems

A survey of simulation techniques in commerce and defence

Despite the developments in Modelling and Simulation (M&S) tools and techniques over the past years, there has been a gap in the M&S research and practice in healthcare on developing a toolkit to assist the modellers and simulation practitioners with selecting an appropriate set of techniques. This study is a preliminary step towards this goal. This paper presents some results from a systematic literature survey on applications of M&S in the commerce and defence domains that could inspire some improvements in the healthcare. Interim results show that in the commercial sector Discrete-Event Simulation (DES) has been the most widely used technique with System Dynamics (SD) in second place. However in the defence sector, SD has gained relatively more attention. SD has been found quite useful for qualitative and soft factors analysis. From both the surveys it becomes clear that there is a growing trend towards using hybrid M&S approaches